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CANCELADO

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RECORD SUMMARY ocds-0ud2q6-225

Total amount

Importe desconocido

Number of contracts

1

Buying unit

SUBDIRECCIÓN DE RECURSOS MATERIALES belonging to ADMINISTRACIÓN PORTUARIA INTEGRAL DE DOS BOCAS

PLANNING

No data

CALL FOR TENDERS

Government agency

ADMINISTRACIÓN PORTUARIA INTEGRAL DE DOS BOCAS

Buying unit

SUBDIRECCIÓN DE RECURSOS MATERIALES

Call type

ADJUDICACION DIRECTA (direct)

Call status

complete

AWARDS AND CONTRACTS

Awarded contract code 225

Title

CANCELADO

View contract

Supplier(s)

DIAZ ESTUA Y ASOCIADOS S DE RL DE CV ,

ADMINISTRADORA PACIFICO IMPERIAL S.A. DE C.V. ,

INOLAB ESPECIALISTAS DE SERVICIO S.A. DE C.V. ,

DISTRIBUIDORA PAPELERA DEL CENTRO S.A. DE C.V. ,

HECTOR ALONSO DELGADO SAENZ ,

MARIA ARACELI RIVERA NIETO ,

MERCADOTECNIA DE PRODUCTOS Y SERVICIOS S A DE C V ,

JOSE ALFREDO SANCHEZ LEON ,

C. Librado Flores Martínez ,

LEONARDO LÓPEZ GONZÁLEZ ,

DISTRIBUIDORA DE PAPEL MUSA S.A. DE C.V. ,

LILIA PATRICIA GALINDO HERNANDEZ ,

ABELARDO JESUS DONDE CASTRO ,

FRANCISCO ANTONIO HERNÁNDEZ ,

AGUILAR PONCE DONATO ,

Grupo Oxten S.A. de C.V. ,

Amount

Importe desconocido

Award status

active

Signature date

15 de febrero de 2007

Execution period

15 de febrero de 2007 to 8 de mayo de 2007

Official documents

See awardNotice 1 on official site www.portaltransparencia.gob.mx
See awardNotice 2 on official site www.insp.mx

This contract is (terminated)

IMPLEMENTATION

No data

GENERAL INFORMATION

Date updated in QQW

9 de mayo de 2021

Source(s)

Portal de Obligaciones de Transparencia (POT)

Part of the project

TodosLosContratos.mx

Organization responsible for the import

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                        library(rjson) 

                        #Read JSON data into R  

                        data <- fromJSON(file="http://localhost:10010/v3/record?limit=1&sort=&embed=true&db_prefix=&ocid=ocds-0ud2q6-225")

Add this to your code:


                        import json, urllib 


                        #Read JSON data into python  

                        response = urllib2.urlopen('http://localhost:10010/v3/record?limit=1&sort=&embed=true&db_prefix=&ocid=ocds-0ud2q6-225')   

                        data = json.loads(response.read())

Python (pandas, json)

Add this to your code:


                        import pandas as pd 


                        #Read JSON data into pandas  

                        df = pd.read_json('http://localhost:10010/v3/record?limit=1&sort=&embed=true&db_prefix=&ocid=ocds-0ud2q6-225')